The popularity of the term deconstruction, combined with the technical difficulty of Derrida's primary material on deconstruction and his reluctance to elaborate his understanding of the term, has meant that many secondary sources have attempted to give a more straightforward explanation than Derrida himself ever attempted. Secondary definitions are therefore an interpretation of deconstruction by the person offering them rather than a summary of Derrida's actual position.

[Deconstruction] signifies a project of critical thought whose task is to locate and 'take apart' those concepts which serve as the axioms or rules for a period of thought, those concepts which command the unfolding of an entire epoch of metaphysics. 'Deconstruction' is somewhat less negative than the Heideggerian or Nietzschean terms 'destruction' or 'reversal'; it suggests that certain foundational concepts of metaphysics will never be entirely eliminated...There is no simple 'overcoming' of metaphysics or the language of metaphysics.

According to internal documents from Microsoft, Andromeda will be “a new pocketable Surface device form factor that brings together innovative new hardware and software experiences to create a truly personal and versatile computing experience.”

Andromeda’s design is described as having a “wraparound” display that spans the device’s hinge and folds outwards in a manner that The Verge says looks identical to 3D renders created by David Breyer.

As you’d expect from a Surface, the documents show that Microsoft has toyed with the idea of including stylus support on Andromeda, while also testing the use of ARM-based processors instead of traditional x86 chips. This would make a lot of sense for a smaller, pocket-friendly device, as the greater power efficiency seen in Windows on Snapdragon devices like the
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could translate into better battery life for Andromeda.

The potentially worrying thing about all this, is that according to the Verge’s sources , Microsoft is hesitant about the device and “could pull the plug at any stage.”

For many, Andromeda is also seen as the long-rumored Surface Phone, which would seem to jive with remarks from the leaked documents that claim Andromeda is Microsoft’s response to its now defunct Windows Phone platform.

And while it’s possible that none of the rumors about Microsfot’s long-rumored device come fruition, with Intel and Asus already having demoed dual-screen devices at Computex 2018, even if Andromeda never gets released, there’s a good chance some other company will make eventually make good on people’s dual-screen dreams.

This is the authors' version of the work. It is posted here for your personal use. Not for redistribution. The definitive version is published in the proceedings of the 39th International Conference on Software Engineering (ICSE '17), Buenos Aires, Argentina. May 20 - 28, 2017. IEEE Press, Piscataway, NJ, USA. See:
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The practice of continuous deployment enables product teams to release content to end users within hours or days, rather than months or years. These faster deployment cycles, along with rich product instrumentation, allows product teams to capture and analyze feature usage measurements. Product teams define a hypothesis and a set of metrics to assess how a code or feature change will impact the user. Supported by a framework, a team can deploy that change to subsets of users, enabling randomized controlled experiments. Based on the impact of the change, the product team may decide to modify the change, to deploy the change to all users, or to abandon the change. This experimentation process enables product teams to only deploy the changes that positively impact the user experience. The goal of this research is to aid product teams to improve their deployment process through providing an empirical characterization of an experimentation process when applied to a large-scale and mature service. Through an analysis of 21,220 experiments applied in Bing since 2014, we observed the complexity of the experimental process and characterized the full deployment cycle (from code change to deployment to all users). The analysis identified that the experimentation process takes an average of 42 days, including multiple iterations of one or two week experiment runs. Such iterations typically indicate that problems were found that could have hurt the users or business if the feature was just launched, hence the experiment provided real value to the organization. Further, we discovered that code changes for experiments are four times larger than other code changes. We identify that the code associated with 33.4% of the experiments is eventually shipped to all users. These fully-deployed code changes are significantly larger than the code changes for the other experiments, in terms of files (35.7%), changesets (80.4%) and contributors (20.0%).